{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T16:01:36Z","timestamp":1773417696711,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T00:00:00Z","timestamp":1593475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000009","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41GM103545-18, R01-NS088674, R01-NS085122, R01-HD058301"],"award-info":[{"award-number":["P41GM103545-18, R01-NS088674, R01-NS085122, R01-HD058301"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014718","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CMMI-193537, CBET-1804550"],"award-info":[{"award-number":["CMMI-193537, CBET-1804550"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,30]]},"DOI":"10.1145\/3389189.3389203","type":"proceedings-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T19:14:07Z","timestamp":1593458047000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Mapping motor cortex stimulation to muscle responses"],"prefix":"10.1145","author":[{"given":"Md Navid","family":"Akbar","sequence":"first","affiliation":[{"name":"Northeastern University"}]},{"given":"Mathew","family":"Yarossi","sequence":"additional","affiliation":[{"name":"Northeastern University"}]},{"given":"Marc","family":"Martinez-Gost","sequence":"additional","affiliation":[{"name":"Technical University of Catalonia"}]},{"given":"Marc A.","family":"Sommer","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Moritz","family":"Dannhauer","sequence":"additional","affiliation":[{"name":"Duke University"}]},{"given":"Sumientra","family":"Rampersad","sequence":"additional","affiliation":[{"name":"Northeastern University"}]},{"given":"Dana","family":"Brooks","sequence":"additional","affiliation":[{"name":"Northeastern University"}]},{"given":"Eugene","family":"Tunik","sequence":"additional","affiliation":[{"name":"Northeastern University"}]},{"given":"Deniz","family":"Erdo\u011fmu\u015f","sequence":"additional","affiliation":[{"name":"Northeastern University"}]}],"member":"320","published-online":{"date-parts":[[2020,6,30]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands. Frontiers in neurorobotics 10","author":"Atzori Manfredo","year":"2016","unstructured":"Manfredo Atzori , Matteo Cognolato , and Henning M\u00fcller . 2016. Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands. Frontiers in neurorobotics 10 ( 2016 ), 9. Manfredo Atzori, Matteo Cognolato, and Henning M\u00fcller. 2016. Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands. Frontiers in neurorobotics 10 (2016), 9."},{"key":"e_1_3_2_2_2_1","volume-title":"The neural origin of muscle synergies. Frontiers in computational neuroscience 7","author":"Bizzi Emilio","year":"2013","unstructured":"Emilio Bizzi and Vincent CK Cheung . 2013. The neural origin of muscle synergies. Frontiers in computational neuroscience 7 ( 2013 ), 51. Emilio Bizzi and Vincent CK Cheung. 2013. The neural origin of muscle synergies. Frontiers in computational neuroscience 7 (2013), 51."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.57"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","first-page":"e12","DOI":"10.1016\/j.brs.2016.11.058","article-title":"Brainstimulator: A Flexible Extensible Software Tool for Modeling and Optimizing Transcranial Brain Stimulation","volume":"10","author":"Dannhauer Moritz","year":"2017","unstructured":"Moritz Dannhauer , Ayla Khan , Daniel White , Seyhmus Guler , Spencer Frisby , Rob S MacLeod , and Dana H Brooks . 2017 . Brainstimulator: A Flexible Extensible Software Tool for Modeling and Optimizing Transcranial Brain Stimulation . Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation 10 , 1 (2017), e12 -- e13 . Moritz Dannhauer, Ayla Khan, Daniel White, Seyhmus Guler, Spencer Frisby, Rob S MacLeod, and Dana H Brooks. 2017. Brainstimulator: A Flexible Extensible Software Tool for Modeling and Optimizing Transcranial Brain Stimulation. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation 10, 1 (2017), e12--e13.","journal-title":"Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3020948.3020973"},{"key":"e_1_3_2_2_6_1","volume-title":"Neural Effects of rTMS: Single Neuron Recordings From a Rhesus Macaque. JOURNAL OF ECT","author":"Grigsby EM","year":"2015","unstructured":"EM Grigsby , MJ Koval , MV Smith , JK Mueller , ZD Deng , A Peterchev , WM Grill , and MA Sommer . 2015. Neural Effects of rTMS: Single Neuron Recordings From a Rhesus Macaque. JOURNAL OF ECT ( 2015 ). EM Grigsby, MJ Koval, MV Smith, JK Mueller, ZD Deng, A Peterchev, WM Grill, and MA Sommer. 2015. Neural Effects of rTMS: Single Neuron Recordings From a Rhesus Macaque. JOURNAL OF ECT (2015)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2007.06.026"},{"key":"e_1_3_2_2_8_1","volume-title":"Understanding and enhancing motor recovery after stroke using transcranial magnetic stimulation. Restorative neurology and neuroscience 29, 6","author":"Hoyer Erik H","year":"2011","unstructured":"Erik H Hoyer and Pablo A Celnik . 2011. Understanding and enhancing motor recovery after stroke using transcranial magnetic stimulation. Restorative neurology and neuroscience 29, 6 ( 2011 ), 395--409. Erik H Hoyer and Pablo A Celnik. 2011. Understanding and enhancing motor recovery after stroke using transcranial magnetic stimulation. Restorative neurology and neuroscience 29, 6 (2011), 395--409."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/76.2.297"},{"key":"e_1_3_2_2_10_1","volume-title":"International Conference on Machine Learning. 448--456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . In International Conference on Machine Learning. 448--456 . Sergey Ioffe and Christian Szegedy. 2015. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In International Conference on Machine Learning. 448--456."},{"key":"e_1_3_2_2_11_1","volume-title":"Non-invasive brain stimulation to enhance post-stroke recovery. Frontiers in neural circuits 10","author":"Kubis Nathalie","year":"2016","unstructured":"Nathalie Kubis . 2016. Non-invasive brain stimulation to enhance post-stroke recovery. Frontiers in neural circuits 10 ( 2016 ), 56. Nathalie Kubis. 2016. Non-invasive brain stimulation to enhance post-stroke recovery. Frontiers in neural circuits 10 (2016), 56."},{"key":"e_1_3_2_2_12_1","volume-title":"Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755","author":"Lee Daniel D","year":"1999","unstructured":"Daniel D Lee and H Sebastian Seung . 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755 ( 1999 ), 788--791. Daniel D Lee and H Sebastian Seung. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755 (1999), 788--791."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2029556.2029563"},{"key":"e_1_3_2_2_14_1","volume-title":"Hrishikesh Rao, Zhi-De Deng, Angel V Peterchev, Marc A Sommer, Tobias Egner, Michael L Platt, et al.","author":"Mueller Jerel K","year":"2014","unstructured":"Jerel K Mueller , Erinn M Grigsby , Vincent Prevosto , Frank W Petraglia III , Hrishikesh Rao, Zhi-De Deng, Angel V Peterchev, Marc A Sommer, Tobias Egner, Michael L Platt, et al. 2014 . Simultaneous transcranial magnetic stimulation and single-neuron recording in alert non-human primates. Nature neuroscience 17, 8 (2014), 1130. Jerel K Mueller, Erinn M Grigsby, Vincent Prevosto, Frank W Petraglia III, Hrishikesh Rao, Zhi-De Deng, Angel V Peterchev, Marc A Sommer, Tobias Egner, Michael L Platt, et al. 2014. Simultaneous transcranial magnetic stimulation and single-neuron recording in alert non-human primates. Nature neuroscience 17, 8 (2014), 1130."},{"key":"e_1_3_2_2_15_1","volume-title":"Transcranial magnetic stimulation to understand pathophysiology and as potential treatment for neurodegenerative diseases. Translational neurodegeneration 4, 1","author":"Ni Zhen","year":"2015","unstructured":"Zhen Ni and Robert Chen . 2015. Transcranial magnetic stimulation to understand pathophysiology and as potential treatment for neurodegenerative diseases. Translational neurodegeneration 4, 1 ( 2015 ), 22. Zhen Ni and Robert Chen. 2015. Transcranial magnetic stimulation to understand pathophysiology and as potential treatment for neurodegenerative diseases. Translational neurodegeneration 4, 1 (2015), 22."},{"key":"e_1_3_2_2_16_1","volume-title":"Group-level variations in motor representation areas of thenar and anterior tibial muscles: Navigated Transcranial Magnetic Stimulation Study. Human brain mapping 31, 8","author":"Niskanen Eini","year":"2010","unstructured":"Eini Niskanen , Petro Julkunen , Laura S\u00e4is\u00e4nen , Ritva Vanninen , Pasi Karjalainen , and Mervi K\u00f6n\u00f6nen . 2010. Group-level variations in motor representation areas of thenar and anterior tibial muscles: Navigated Transcranial Magnetic Stimulation Study. Human brain mapping 31, 8 ( 2010 ), 1272--1280. Eini Niskanen, Petro Julkunen, Laura S\u00e4is\u00e4nen, Ritva Vanninen, Pasi Karjalainen, and Mervi K\u00f6n\u00f6nen. 2010. Group-level variations in motor representation areas of thenar and anterior tibial muscles: Navigated Transcranial Magnetic Stimulation Study. Human brain mapping 31, 8 (2010), 1272--1280."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT.2016.7808140"},{"key":"e_1_3_2_2_18_1","volume-title":"SCIRun: A Scientific Computing Problem Solving Environment","unstructured":"SCIRun. [n.d.]. SCIRun: A Scientific Computing Problem Solving Environment , Scientific Computing and Imaging Institute (SCI) . http:\/\/www.scirun.org. SCIRun. [n.d.]. SCIRun: A Scientific Computing Problem Solving Environment, Scientific Computing and Imaging Institute (SCI). http:\/\/www.scirun.org."},{"key":"e_1_3_2_2_19_1","volume-title":"Long-term paired associative stimulation can restore voluntary control over paralyzed muscles in incomplete chronic spinal cord injury patients. Spinal cord series and cases 2, 1","author":"Shulga Anastasia","year":"2016","unstructured":"Anastasia Shulga , Pantelis Lioumis , Aleksandra Zubareva , Nina Brandstack , Linda Kuusela , Erika Kirveskari , Sarianna Savolainen , Aarne Ylinen , and Jyrki P M\u00e4kel\u00e4 . 2016. Long-term paired associative stimulation can restore voluntary control over paralyzed muscles in incomplete chronic spinal cord injury patients. Spinal cord series and cases 2, 1 ( 2016 ), 1--9. Anastasia Shulga, Pantelis Lioumis, Aleksandra Zubareva, Nina Brandstack, Linda Kuusela, Erika Kirveskari, Sarianna Savolainen, Aarne Ylinen, and Jyrki P M\u00e4kel\u00e4. 2016. Long-term paired associative stimulation can restore voluntary control over paralyzed muscles in incomplete chronic spinal cord injury patients. Spinal cord series and cases 2, 1 (2016), 1--9."},{"key":"e_1_3_2_2_20_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_2_21_1","volume-title":"Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava , Geoffrey Hinton , Alex Krizhevsky , Ilya Sutskever , and Ruslan Salakhutdinov . 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1 ( 2014 ), 1929--1958. Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1 (2014), 1929--1958."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2004.1311138"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00222.2005"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2019.00258"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2019.8717159"}],"event":{"name":"PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference","location":"Corfu Greece","acronym":"PETRA '20","sponsor":["NSF National Science Foundation","CSE@UTA Department of Computer Science and Engineering, The University of Texas at Arlington","NCRS Demokritos National Center for Scientific Research"]},"container-title":["Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3389189.3389203","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3389189.3389203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:02Z","timestamp":1750199582000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3389189.3389203"}},"subtitle":["a deep neural network modeling approach"],"short-title":[],"issued":{"date-parts":[[2020,6,30]]},"references-count":25,"alternative-id":["10.1145\/3389189.3389203","10.1145\/3389189"],"URL":"https:\/\/doi.org\/10.1145\/3389189.3389203","relation":{},"subject":[],"published":{"date-parts":[[2020,6,30]]},"assertion":[{"value":"2020-06-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}